Paper: Context-Dependent Term Relations For Information Retrieval

ACL ID W06-1665
Title Context-Dependent Term Relations For Information Retrieval
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2006

Co-occurrence analysis has been used to determine related words or terms in many NLP-related applications such as query expansion in Information Retrieval (IR). However, related words are usually determined with respect to a single word, without relevant information for its application context. For example, the word “programming” may be considered to be strongly related to “Java”, and applied inappropriately to expand a query on “Java travel”. To solve this problem, we propose to add another context word in the relation to specify the appropriate context of the relation, leading to term relations of the form “(Java, travel) → Indonesia”. The extracted relations are used for query expansion in IR. Our experiments on several TREC collections show that this new type of conte...